资源受限下阵列测向及其在无源定位中的应用OA

With the rapid development of unmanned platforms and microsystems,the academic and industrial com-munities have seen a surge in Demand for Target(DF)and localization under resource-constrained conditions such as limited radio frequency chains,data sampling accuracy,and sample size.Traditional hardware platforms for direction finding and positioning,which typically consume substantial resources,face significant challenges in resource-limited scenarios.This paper systematically reviews key technical approaches for array-based DF under resource constraints,including sparse arrays,time modulation arrays,hybrid analog-digital arrays,low-bit quantization,and iterative adap-tive techniques.Moreover,typical applications of array-based DF in passive positioning systems are highlighted,in-cluding DF-based positioning,DF combined with external radiation source localization,and distributed DF fusion posi-tioning.The synergistic integration of these technologies significantly reduces the system's resource requirements while ensuring DF and positioning accuracy and real-time performance in complex electromagnetic environments.Fi-nally,the paper analyzes current major challenges and outlines future research directions.